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Prediction and analysis of the aging properties of rapidly solidified Cu-Cr-Sn-Zn alloy through neural network

โœ Scribed by Su Juan-hua; Li He-jun; Dong Qi-ming; Liu Ping; Kang Bu-xi


Book ID
111786420
Publisher
Springer US
Year
2005
Tongue
English
Weight
146 KB
Volume
14
Category
Article
ISSN
1059-9495

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Aging study of rapidly solidified and so
โœ Juan-hua Su; Ping Liu; Qi-ming Dong; He-jun Li; Feng-zhang Ren ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 589 KB

The effects of different solution methods on aging microstructure and properties of Cu-Cr-Sn-Zn alloy have been studied. The grain size of rapid solidification is much smaller than solid-solution grain size. Strengthening of smaller grain size is obvious. There are much more fine precipitates in the